• Built Qurious (getqurious.xyz) — a research platform to search, summarize, and organize scientific papers.
• Developed the entire system across frontend, backend, AI, and DevOps: a full-stack SaaS with a Next.js web app, mobile Expo app, browser extension, and real-time citation graphs.
• Integrated AI models (OpenAI, Gemini) to chat with papers and generate summaries, research questions, and related works.
• Implemented rich features: folder-based bookmarking, notes with Tiptap, real-time collaboration and folder sharing, brain dump sections, and user onboarding with mascot.
• Deployed 5 apps (marketing, app, blog, help, status) under a monorepo with CI/CD, Docker, and edge caching.
• Used analytics (PostHog), auth (Clerk), payments (Dodo), Convex as backend/database, and built reusable design system.